A research team is developing an algorithm that combines quantum chemistry with machine learning (artificial intelligence) to enable atomistic simulations that predict the properties of new materials with unprecedented speed.

Nanopillars consisting of two magnetic layers separated by an insulating or non-magnetic metal can exhibit oscillations: a constant current can make the magnetization in one layer precess with frequencies in the gigahertz range.

The White House Women’s Leadership Summit on Climate and Energy is recognizing today a select group of women experts from the public, private, academic and philanthropic sectors who are working to address climate change. Three Argonne researchers – Robin Graham, Leah Guzowski and Ann Schlenker – are part of this select group.